Papers › Global Entity Disambiguation with BERT
Global Entity Disambiguation with BERT
Ikuya Yamada, Koki Washio, Hiroyuki Shindo, Yuji Matsumoto
We propose a global entity disambiguation (ED) model based on BERT. To capture global contextual information for ED, our model treats not only words but also entities as input tokens, and solves the task by sequentially resolving mentions to their referent entities and using resolved entities as inputs at each step. We train the model using a large entity-annotated corpus obtained from Wikipedia. We achieve new state-of-the-art results on five standard ED datasets: AIDA-CoNLL, MSNBC, AQUAINT, ACE2004, and WNED-WIKI. The source code and model checkpoint are available at https://github.com/studio-ousia/luke.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Entity Disambiguation | ACE2004 | confidence-order | Micro-F1 | 91.9 | #2 of 6 | Archive leaderboard | report |
| Entity Disambiguation | AIDA-CoNLL | confidence-order | In-KB Accuracy | 95.0 | #1 of 20 | Archive leaderboard | report |
| Entity Disambiguation | AQUAINT | confidence-order | Micro-F1 | 93.5 | #1 of 6 | Archive leaderboard | report |
| Entity Disambiguation | MSNBC | confidence-order | Micro-F1 | 96.3 | #1 of 6 | Archive leaderboard | report |
| Entity Disambiguation | WNED-CWEB | confidence-order | Micro-F1 | 78.9 | #2 of 7 | Archive leaderboard | report |
| Entity Disambiguation | WNED-CWEB | MEP | Micro-F1 | 76.2 | #6 of 7 | Archive leaderboard | report |
| Entity Disambiguation | WNED-WIKI | confidence-order | Micro-F1 | 89.1 | #2 of 7 | Archive leaderboard | report |
| Entity Disambiguation | WNED-WIKI | MEP | Micro-F1 | 86.2 | #5 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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